
Azure data architect position
4 days ago
Azure data engineer positions are available in our organization. We are seeking skilled professionals to join our team.
The successful candidate will have hands-on experience in applied research, including Generative AI, and be able to collaborate with product and engineering teams.
- Key Responsibilities:
- Lead applied research in Generative AI, including LLMs, Vision-Language Models, VLMs, and Multimodal AI.
- Collaborate with product and engineering teams to translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil, gas, and healthcare.
- Conduct research and development in Traditional AI domains such as Computer Vision, object detection, segmentation, OCR, and Predictive Analytics.
- Build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, and Scikit-learn.
- Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.
- Required Skills Experience:
- 7-12 years of hands-on experience in AIML R&D, including minimum 2-3 years in GenAI.
- Strong experience with LLMs fine-tuning, model evaluation, vector databases, and inference pipelines.
- Deep expertise in at least one traditional domain, Computer Vision, eg CNNs, YOLO, Mask RCNN, or Predictive Modeling, eg time series survival models.
- Experience deploying models in Edge Cloud MLOps pipelines and working with enterprise data platforms.
- Strong programming skills in Python and experience with notebook-based prototyping, REST APIs, and ML libraries.
- Good to Have Preferred
- Knowledge of Agentic AI, Digital Twins, or Simulation-based learning.
- Experience in industrial AI domains, eg smart factory quality inspection, predictive maintenance.
- Exposure to generative vision models, like Diffusion Models, GANs, or NeRFs.
- Experience collaborating in multidisciplinary R&D teams.
- Contributions to open-source patents or publications in AIML.
- Skills
- Mandatory Skills: Apache Airflow, Apache Spark, Python, Azure Cosmos DB, Azure Data Factory, Azure IoT, Azure Synapse Analytics, Azure Data Lake, Databricks, AR_VR_MR
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